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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="preprocessor">#ifndef _CAFFE_UTIL_IM2COL_HPP_</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="preprocessor">#define _CAFFE_UTIL_IM2COL_HPP_</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;</div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecaffe.html">caffe</a> {</div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Dtype&gt;</div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="keywordtype">void</span> im2col_nd_cpu(<span class="keyword">const</span> Dtype* data_im, <span class="keyword">const</span> <span class="keywordtype">int</span> num_spatial_axes,</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>* im_shape, <span class="keyword">const</span> <span class="keywordtype">int</span>* col_shape,</div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>* kernel_shape, <span class="keyword">const</span> <span class="keywordtype">int</span>* pad, <span class="keyword">const</span> <span class="keywordtype">int</span>* stride,</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>* dilation, Dtype* data_col);</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Dtype&gt;</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="keywordtype">void</span> im2col_cpu(<span class="keyword">const</span> Dtype* data_im, <span class="keyword">const</span> <span class="keywordtype">int</span> channels,</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> height, <span class="keyword">const</span> <span class="keywordtype">int</span> width, <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_h, <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_w,</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> pad_h, <span class="keyword">const</span> <span class="keywordtype">int</span> pad_w, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_h,</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> stride_w, <span class="keyword">const</span> <span class="keywordtype">int</span> dilation_h, <span class="keyword">const</span> <span class="keywordtype">int</span> dilation_w,</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;    Dtype* data_col);</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Dtype&gt;</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="keywordtype">void</span> col2im_nd_cpu(<span class="keyword">const</span> Dtype* data_col, <span class="keyword">const</span> <span class="keywordtype">int</span> num_spatial_axes,</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>* im_shape, <span class="keyword">const</span> <span class="keywordtype">int</span>* col_shape,</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>* kernel_shape, <span class="keyword">const</span> <span class="keywordtype">int</span>* pad, <span class="keyword">const</span> <span class="keywordtype">int</span>* stride,</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>* dilation, Dtype* data_im);</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Dtype&gt;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="keywordtype">void</span> col2im_cpu(<span class="keyword">const</span> Dtype* data_col, <span class="keyword">const</span> <span class="keywordtype">int</span> channels,</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> height, <span class="keyword">const</span> <span class="keywordtype">int</span> width, <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_h, <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_w,</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> pad_h, <span class="keyword">const</span> <span class="keywordtype">int</span> pad_w, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_h,</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> stride_w, <span class="keyword">const</span> <span class="keywordtype">int</span> dilation_h, <span class="keyword">const</span> <span class="keywordtype">int</span> dilation_w,</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    Dtype* data_im);</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Dtype&gt;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keywordtype">void</span> im2col_nd_gpu(<span class="keyword">const</span> Dtype* data_im, <span class="keyword">const</span> <span class="keywordtype">int</span> num_spatial_axes,</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> col_size, <span class="keyword">const</span> <span class="keywordtype">int</span>* im_shape, <span class="keyword">const</span> <span class="keywordtype">int</span>* col_shape,</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>* kernel_shape, <span class="keyword">const</span> <span class="keywordtype">int</span>* pad, <span class="keyword">const</span> <span class="keywordtype">int</span>* stride,</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>* dilation, Dtype* data_col);</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Dtype&gt;</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keywordtype">void</span> im2col_gpu(<span class="keyword">const</span> Dtype* data_im, <span class="keyword">const</span> <span class="keywordtype">int</span> channels,</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> height, <span class="keyword">const</span> <span class="keywordtype">int</span> width, <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_h, <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_w,</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> pad_h, <span class="keyword">const</span> <span class="keywordtype">int</span> pad_w, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_h,</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> stride_w, <span class="keyword">const</span> <span class="keywordtype">int</span> dilation_h, <span class="keyword">const</span> <span class="keywordtype">int</span> dilation_w,</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    Dtype* data_col);</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Dtype&gt;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keywordtype">void</span> col2im_nd_gpu(<span class="keyword">const</span> Dtype* data_col, <span class="keyword">const</span> <span class="keywordtype">int</span> num_spatial_axes,</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> im_size, <span class="keyword">const</span> <span class="keywordtype">int</span>* im_shape, <span class="keyword">const</span> <span class="keywordtype">int</span>* col_shape,</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>* kernel_shape, <span class="keyword">const</span> <span class="keywordtype">int</span>* pad, <span class="keyword">const</span> <span class="keywordtype">int</span>* stride,</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>* dilation, Dtype* data_im);</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Dtype&gt;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="keywordtype">void</span> col2im_gpu(<span class="keyword">const</span> Dtype* data_col, <span class="keyword">const</span> <span class="keywordtype">int</span> channels,</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> height, <span class="keyword">const</span> <span class="keywordtype">int</span> width, <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_h, <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_w,</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> pad_h, <span class="keyword">const</span> <span class="keywordtype">int</span> pad_w, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_h,</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> stride_w, <span class="keyword">const</span> <span class="keywordtype">int</span> dilation_h, <span class="keyword">const</span> <span class="keywordtype">int</span> dilation_w,</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    Dtype* data_im);</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;}  <span class="comment">// namespace caffe</span></div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="preprocessor">#endif  // CAFFE_UTIL_IM2COL_HPP_</span></div><div class="ttc" id="namespacecaffe_html"><div class="ttname"><a href="namespacecaffe.html">caffe</a></div><div class="ttdoc">A layer factory that allows one to register layers. During runtime, registered layers can be called b...</div><div class="ttdef"><b>Definition:</b> blob.hpp:14</div></div>
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